An optimization approach for district heating strategic network design

Chiara Bordin, Angelo Gordini, Daniele Vigo

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

District heating systems provide the heat generated in a centralized location to a set of users for their residential and commercial heating requirements. Heat distribution is generally obtained by using hot water or steam flowing through a closed network of insulated pipes and heat exchange stations at the users' locations. The use of optimization techniques for the strategic design of such networks is strongly motivated by the high cost of the required infrastructures but is particularly challenging because of the technical characteristics and the size of the real world applications. We present a mathematical model developed to support district heating system planning. The objective is the selection of an optimal set of new users to be connected to an existing thermal network, maximizing revenues and minimizing infrastructure and operational costs. The model considers steady state conditions of the hydraulic system and takes into account the main technical requirements of the real world application. Results on real and randomly generated benchmark networks are discussed.

Original languageEnglish
Pages (from-to)296-307
Number of pages12
JournalEuropean Journal of Operational Research
Volume252
Issue number1
DOIs
Publication statusPublished - 1 Jul 2016

Fingerprint

District heating
Network Design
Heating
Optimization
Heat
Real-world Applications
Infrastructure
Hydraulic System
Requirements
Costs
Optimization Techniques
Steam
Pipe
Planning
Hydraulics
Mathematical Model
Mathematical models
Benchmark
Water
Closed

Keywords

  • District heating
  • Energy
  • Graph theory
  • Linear programming
  • Optimization

Cite this

@article{bd3fae8d684a4a1585bb16ddf90a291f,
title = "An optimization approach for district heating strategic network design",
abstract = "District heating systems provide the heat generated in a centralized location to a set of users for their residential and commercial heating requirements. Heat distribution is generally obtained by using hot water or steam flowing through a closed network of insulated pipes and heat exchange stations at the users' locations. The use of optimization techniques for the strategic design of such networks is strongly motivated by the high cost of the required infrastructures but is particularly challenging because of the technical characteristics and the size of the real world applications. We present a mathematical model developed to support district heating system planning. The objective is the selection of an optimal set of new users to be connected to an existing thermal network, maximizing revenues and minimizing infrastructure and operational costs. The model considers steady state conditions of the hydraulic system and takes into account the main technical requirements of the real world application. Results on real and randomly generated benchmark networks are discussed.",
keywords = "District heating, Energy, Graph theory, Linear programming, Optimization",
author = "Chiara Bordin and Angelo Gordini and Daniele Vigo",
year = "2016",
month = "7",
day = "1",
doi = "10.1016/j.ejor.2015.12.049",
language = "English",
volume = "252",
pages = "296--307",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier",
number = "1",

}

An optimization approach for district heating strategic network design. / Bordin, Chiara; Gordini, Angelo; Vigo, Daniele.

In: European Journal of Operational Research, Vol. 252, No. 1, 01.07.2016, p. 296-307.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - An optimization approach for district heating strategic network design

AU - Bordin, Chiara

AU - Gordini, Angelo

AU - Vigo, Daniele

PY - 2016/7/1

Y1 - 2016/7/1

N2 - District heating systems provide the heat generated in a centralized location to a set of users for their residential and commercial heating requirements. Heat distribution is generally obtained by using hot water or steam flowing through a closed network of insulated pipes and heat exchange stations at the users' locations. The use of optimization techniques for the strategic design of such networks is strongly motivated by the high cost of the required infrastructures but is particularly challenging because of the technical characteristics and the size of the real world applications. We present a mathematical model developed to support district heating system planning. The objective is the selection of an optimal set of new users to be connected to an existing thermal network, maximizing revenues and minimizing infrastructure and operational costs. The model considers steady state conditions of the hydraulic system and takes into account the main technical requirements of the real world application. Results on real and randomly generated benchmark networks are discussed.

AB - District heating systems provide the heat generated in a centralized location to a set of users for their residential and commercial heating requirements. Heat distribution is generally obtained by using hot water or steam flowing through a closed network of insulated pipes and heat exchange stations at the users' locations. The use of optimization techniques for the strategic design of such networks is strongly motivated by the high cost of the required infrastructures but is particularly challenging because of the technical characteristics and the size of the real world applications. We present a mathematical model developed to support district heating system planning. The objective is the selection of an optimal set of new users to be connected to an existing thermal network, maximizing revenues and minimizing infrastructure and operational costs. The model considers steady state conditions of the hydraulic system and takes into account the main technical requirements of the real world application. Results on real and randomly generated benchmark networks are discussed.

KW - District heating

KW - Energy

KW - Graph theory

KW - Linear programming

KW - Optimization

UR - http://www.scopus.com/inward/record.url?scp=84956856717&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84956856717&partnerID=8YFLogxK

U2 - 10.1016/j.ejor.2015.12.049

DO - 10.1016/j.ejor.2015.12.049

M3 - Article

VL - 252

SP - 296

EP - 307

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 1

ER -